Cryptocurrency hacks list

Cryptocurrency risk scoring services list

RugWatch is a real-time Solana rugpull and honeypot detection bot. It monitors new token launches across major DEX ecosystems, analyzes on-chain risk signals (authorities, liquidity, trading rules), and alerts via Telegram and Discord with a clear risk score.

A Go-based IP security protection package providing real-time threat detection, dynamic risk scoring, device fingerprinting, and multi-layered security mechanisms.

OpenSiteTrust is an open, explainable, and reusable website scoring ecosystem

A collection of medical calculations in Python. Example: MELD score for liver disease.

National-scale vaccine distribution system deployed during COVID-19. Used by Iranian Ministry of Health to optimize allocation for 90 million people. VBA-based optimization engine for crisis response decision support

This project conducts customer credit risk assessment by preprocessing the data, applying various models, and evaluating their performance with and without SMOTE (Synthetic Minority Over-sampling Technique) to address class imbalance.

Fake review detection using TF-IDF & SVM (AUC 0.98), plus Counterfeit Risk Score with clustering & anomaly detection.

CryptGuardian is a zero-dependency, advanced blockchain security module designed to detect, analyze, and mitigate threats in real-time. It integrates threat intelligence, pattern-based analysis, timing detection, and deep security alerts, making it a robust tool for monitoring blockchain data integrity.

Rules based KYC Risk Scoring Dashboard -SQL and PowerBI. Automates customer classification into Low/Medium/High risk tiers using onboarding data.

CSV and Excel risk register templates with scoring fields, examples, and guidance for executive reporting.

A heuristic risk scorer for cloud assets leveraging MITRE ATT&CK mappings and tags to evaluate and score risks. This tool helps in identifying, prioritizing, and mitigating potential vulnerabilities within cloud environments.

Actuarial data science project analyzing insurance claims to identify potential fraud and assess customer risk. Includes Python preprocessing, feature engineering, and a stakeholder-ready Tableau dashboard.

This project conducts customer credit risk assessment by preprocessing the data, applying various models, and evaluating their performance with and without SMOTE (Synthetic Minority Over-sampling Technique) to address class imbalance.

An AI-driven risk assessment tool that evaluates users' login input data (e.g., typing speed, timing, and behavior) to calculate a dynamic risk score. Features include mock data generation, labeled training sets, weighted scoring, and deep learning-based predictions.

This repo reports a comprehensive fraud detection system that evaluates different ML models, including a more complex Neural Network model with and without SMOTE balancing. This analysis will include feature engineering, model evaluation, and risk scoring for customers.

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